"Based on instructor feedback, this Third Edition is a modular work, allowing greater flexibility in adoption. For the first time in such a text, experiments and demonstrations using smart phones and other handheld devices are included, along with more traditional technologies. Coverage of sensors and computer-based techniques for data collection and analysis has increased, as has the number of MATLAB and Simulink applications. A solutions manual, PowerPointª, lecture notes, and a website with labs, computer code, and chapter outlines are available with qualifying course adoption"--
"Based on instructor feedback, this Third Edition is a modular work, allowing greater flexibility in adoption. For the first time in such a text, experiments and demonstrations using smart phones and other handheld devices are included, along with more traditional technologies. Coverage of sensors and computer-based techniques for data collection and analysis has increased, as has the number of MATLAB and Simulink applications. A solutions manual, PowerPointª, lecture notes, and a website with labs, computer code, and chapter outlines are available with qualifying course adoption"--
Patrick F. Dunn, Ph.D., P.E., is a professor of aerospace and mechanical engineering at the University of Notre Dame. He earned his B.S., M.S., and Ph.D. degrees in engineering from Purdue University (1970, 1971, and 1974). Professor Dunn is the author of over 160 scientific journal and refereed symposia publications, and various textbooks including "Measurement and Data Analysis for Engineering and Science Second Edition" by Taylor & Francis / CRC Press, 2010; "Measurement and Data Analysis for Engineering and Science, Third Edition" by Taylor & Francis / CRC Press; and "Fundamentals of Sensors for Engineering and Science" "First Edition" by Taylor & Francis / CRC Press, 2011.
Inhaltsangabe
Fundamentals of Experimentation. Experiments. Fundamental Electronics. Measurement Systems: Sensors and Transducers. Measurement Systems: Other Components. Measurement Systems: Calibration and Response. Measurement Systems: Design-Stage Uncertainty. Signal Characteristics. The Fourier Transform. Digital Signal Analysis. Probability. Statistics. Uncertainty Analysis. Regression and Correlation. Units and Significant Figures. Technical Communication. Index.
Fundamentals of Experimentation. Experiments. Fundamental Electronics. Measurement Systems: Sensors and Transducers. Measurement Systems: Other Components. Measurement Systems: Calibration and Response. Measurement Systems: Design-Stage Uncertainty. Signal Characteristics. The Fourier Transform. Digital Signal Analysis. Probability. Statistics. Uncertainty Analysis. Regression and Correlation. Units and Significant Figures. Technical Communication. Index.
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